{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyze Order Book Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports & Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:37.730817Z",
     "start_time": "2018-12-25T19:07:37.426688Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "from collections import Counter\n",
    "from time import time\n",
    "from datetime import datetime, timedelta, time\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "from math import pi\n",
    "from bokeh.plotting import figure, show, output_file, output_notebook\n",
    "from scipy.stats import normaltest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:44.444591Z",
     "start_time": "2018-12-25T19:07:44.431073Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "pd.set_option('display.float_format', lambda x: '%.2f' % x)\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:44.460103Z",
     "start_time": "2018-12-25T19:07:44.448578Z"
    }
   },
   "outputs": [],
   "source": [
    "data_path = Path('data')\n",
    "itch_store = str(data_path / 'itch.h5')\n",
    "order_book_store = str(data_path / 'order_book.h5')\n",
    "stock = 'AAPL'\n",
    "date = '20190327'\n",
    "title = '{} | {}'.format(stock, pd.to_datetime(date).date())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load system event data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:44.621198Z",
     "start_time": "2018-12-25T19:07:44.462688Z"
    }
   },
   "outputs": [],
   "source": [
    "with pd.HDFStore(itch_store) as store:\n",
    "    sys_events = store['S'].set_index('event_code').drop_duplicates()\n",
    "    sys_events.timestamp = sys_events.timestamp.add(pd.to_datetime(date)).dt.time\n",
    "    market_open = sys_events.loc['Q', 'timestamp']\n",
    "    market_close = sys_events.loc['M', 'timestamp']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trade Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will combine the messages that refer to actual trades to learn about the volumes for each asset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:44.802344Z",
     "start_time": "2018-12-25T19:07:44.624124Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8712 entries, 0 to 8711\n",
      "Data columns (total 17 columns):\n",
      "stock_locate                      8712 non-null int64\n",
      "tracking_number                   8712 non-null int64\n",
      "timestamp                         8712 non-null timedelta64[ns]\n",
      "stock                             8712 non-null object\n",
      "market_category                   8712 non-null object\n",
      "financial_status_indicator        8712 non-null object\n",
      "round_lot_size                    8712 non-null int64\n",
      "round_lots_only                   8712 non-null object\n",
      "issue_classification              8712 non-null object\n",
      "issue_sub_type                    8712 non-null object\n",
      "authenticity                      8712 non-null object\n",
      "short_sale_threshold_indicator    8712 non-null object\n",
      "ipo_flag                          8712 non-null object\n",
      "luld_reference_price_tier         8712 non-null object\n",
      "etp_flag                          8712 non-null object\n",
      "etp_leverage_factor               8712 non-null int64\n",
      "inverse_indicator                 8712 non-null object\n",
      "dtypes: int64(4), object(12), timedelta64[ns](1)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "with pd.HDFStore(itch_store) as store:\n",
    "    stocks = store['R']\n",
    "stocks.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected, a small number of the over 8,500 equity securities traded on this day account for most trades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.041770Z",
     "start_time": "2018-12-25T19:07:44.805854Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pd.HDFStore(itch_store) as store:\n",
    "    stocks = store['R'].loc[:, ['stock_locate', 'stock']]\n",
    "    trades = store['P'].append(store['Q'].rename(columns={'cross_price': 'price'}), sort=False).merge(stocks)\n",
    "\n",
    "trades['value'] = trades.shares.mul(trades.price)    \n",
    "trades['value_share'] = trades.value.div(trades.value.sum())\n",
    "trade_summary = trades.groupby('stock').value_share.sum().sort_values(ascending=False)\n",
    "trade_summary.iloc[:50].plot.bar(figsize=(14, 6), color='darkblue', title='% of Traded Value')\n",
    "plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AAPL Trade Summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.065894Z",
     "start_time": "2018-12-25T19:07:46.043456Z"
    }
   },
   "outputs": [],
   "source": [
    "with pd.HDFStore(order_book_store) as store:\n",
    "    trades = store['{}/trades'.format(stock)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.104649Z",
     "start_time": "2018-12-25T19:07:46.067462Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 59233 entries, 2019-03-27 09:30:00.029662346 to 2019-03-27 15:59:59.940302031\n",
      "Data columns (total 2 columns):\n",
      "shares    59233 non-null int64\n",
      "price     59233 non-null float64\n",
      "dtypes: float64(1), int64(1)\n",
      "memory usage: 1.4 MB\n"
     ]
    }
   ],
   "source": [
    "trades.price = trades.price.mul(1e-4)\n",
    "trades = trades[trades.cross == 0]\n",
    "trades = trades.between_time(market_open, market_close).drop('cross', axis=1)\n",
    "trades.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tick Bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trade data is indexed by nanoseconds and is very noisy. The bid-ask bounce, for instance, causes the price to oscillate between the bid and ask prices when trade initiation alternates between buy and sell market orders. To improve the noise-signal ratio and improve the statistical properties, we need to resample and regularize the tick data by aggregating the trading activity."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We typically collect the open (first), low, high, and closing (last) price for the aggregated period, alongside the volume-weighted average price (VWAP), the number of shares traded, and the timestamp associated with the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.476791Z",
     "start_time": "2018-12-25T19:07:46.119419Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tick_bars = trades.copy()\n",
    "tick_bars.index = tick_bars.index.time\n",
    "tick_bars.price.plot(figsize=(10, 5), title='{} | {}'.format(stock, pd.to_datetime(date).date()), lw=1)\n",
    "plt.xlabel('')\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test for Normality of tick returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.489378Z",
     "start_time": "2018-12-25T19:07:46.478593Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NormaltestResult(statistic=11417.148036373566, pvalue=0.0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normaltest(tick_bars.price.pct_change().dropna())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Regularizing Tick Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Price-Volume Chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the `price_volume` function to compare the price-volume relation for various regularization methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.117451Z",
     "start_time": "2018-12-25T19:07:46.106883Z"
    }
   },
   "outputs": [],
   "source": [
    "def price_volume(df, price='vwap', vol='vol', suptitle=title):\n",
    "    \n",
    "    fig, axes = plt.subplots(nrows=2, sharex=True, figsize=(15,8))\n",
    "    axes[0].plot(df.index, df[price])\n",
    "    axes[1].bar(df.index, df[vol], width=1/(len(df.index)), color='r')\n",
    "    \n",
    "    # formatting\n",
    "    xfmt = mpl.dates.DateFormatter('%H:%M')\n",
    "    axes[1].xaxis.set_major_locator(mpl.dates.HourLocator(interval=3))\n",
    "    axes[1].xaxis.set_major_formatter(xfmt)\n",
    "    axes[1].get_xaxis().set_tick_params(which='major', pad=25)\n",
    "    axes[0].set_title('Price', fontsize=14)\n",
    "    axes[1].set_title('Volume', fontsize=14)\n",
    "    fig.autofmt_xdate()\n",
    "    fig.suptitle(suptitle)\n",
    "    fig.tight_layout()\n",
    "    plt.subplots_adjust(top=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time Bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time bars involve trade aggregation by period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.498776Z",
     "start_time": "2018-12-25T19:07:46.491999Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_bar_stats(agg_trades):\n",
    "    vwap = agg_trades.apply(lambda x: np.average(x.price, weights=x.shares)).to_frame('vwap')\n",
    "    ohlc = agg_trades.price.ohlc()\n",
    "    vol = agg_trades.shares.sum().to_frame('vol')\n",
    "    txn = agg_trades.shares.size().to_frame('txn')\n",
    "    return pd.concat([ohlc, vwap, vol, txn], axis=1)    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We create time bars using the `.resample()` method with the desired period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:46.610493Z",
     "start_time": "2018-12-25T19:07:46.500978Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NormaltestResult(statistic=24.646369641916355, pvalue=4.4474270458019155e-06)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resampled = trades.resample('1Min')\n",
    "time_bars = get_bar_stats(resampled)\n",
    "normaltest(time_bars.vwap.pct_change().dropna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:47.873653Z",
     "start_time": "2018-12-25T19:07:46.612542Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "price_volume(time_bars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bokeh Candlestick Chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternative visualization using the the [bokeh](https://bokeh.pydata.org/en/latest/) library:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:48.337851Z",
     "start_time": "2018-12-25T19:07:47.875409Z"
    }
   },
   "outputs": [],
   "source": [
    "resampled = trades.resample('5Min') # 5 Min bars for better print\n",
    "df = get_bar_stats(resampled)\n",
    "\n",
    "increase = df.close > df.open\n",
    "decrease = df.open > df.close\n",
    "w = 2.5 * 60 * 1000 # 2.5 min in ms\n",
    "\n",
    "WIDGETS = \"pan, wheel_zoom, box_zoom, reset, save\"\n",
    "\n",
    "p = figure(x_axis_type='datetime', tools=WIDGETS, plot_width=1500, title = \"AAPL Candlestick\")\n",
    "p.xaxis.major_label_orientation = pi/4\n",
    "p.grid.grid_line_alpha=0.4\n",
    "\n",
    "p.segment(df.index, df.high, df.index, df.low, color=\"black\")\n",
    "p.vbar(df.index[increase], w, df.open[increase], df.close[increase], fill_color=\"#D5E1DD\", line_color=\"black\")\n",
    "p.vbar(df.index[decrease], w, df.open[decrease], df.close[decrease], fill_color=\"#F2583E\", line_color=\"black\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-14T16:09:51.669481Z",
     "start_time": "2018-06-14T16:09:51.272555Z"
    }
   },
   "source": [
    "![title](aapl_candlestick.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Volume Bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time bars smooth some of the noise contained in the raw tick data but may fail to account for the fragmentation of orders. Execution-focused algorithmic trading may aim to match the volume weighted average price (VWAP) over a given period, and will divide a single order into multiple trades and place orders according to historical patterns. Time bars would treat the same order differently, even though no new information has arrived in the market.\n",
    "\n",
    "Volume bars offer an alternative by aggregating trade data according to volume. We can accomplish this as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:48.366805Z",
     "start_time": "2018-12-25T19:07:48.340109Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 59233 entries, 2019-03-27 09:30:00.029662346 to 2019-03-27 15:59:59.940302031\n",
      "Data columns (total 2 columns):\n",
      "shares    59233 non-null int64\n",
      "price     59233 non-null float64\n",
      "dtypes: float64(1), int64(1)\n",
      "memory usage: 1.4 MB\n"
     ]
    }
   ],
   "source": [
    "with pd.HDFStore(order_book_store) as store:\n",
    "    trades = store['{}/trades'.format(stock)]\n",
    "\n",
    "trades.price = trades.price.mul(1e-4)\n",
    "trades = trades[trades.cross == 0]\n",
    "trades = trades.between_time(market_open, market_close).drop('cross', axis=1)\n",
    "trades.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:48.376306Z",
     "start_time": "2018-12-25T19:07:48.368533Z"
    }
   },
   "outputs": [],
   "source": [
    "trades_per_min = trades.shares.sum()/(60*7.5) # min per trading day\n",
    "trades['cumul_vol'] = trades.shares.cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:48.494204Z",
     "start_time": "2018-12-25T19:07:48.378186Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>vwap</th>\n",
       "      <th>vol</th>\n",
       "      <th>txn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cumul_vol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-03-27 09:30:00.952259968</td>\n",
       "      <td>188.75</td>\n",
       "      <td>188.75</td>\n",
       "      <td>188.60</td>\n",
       "      <td>188.67</td>\n",
       "      <td>188.69</td>\n",
       "      <td>6526</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-03-27 09:30:06.813279061</td>\n",
       "      <td>188.60</td>\n",
       "      <td>188.78</td>\n",
       "      <td>188.57</td>\n",
       "      <td>188.58</td>\n",
       "      <td>188.70</td>\n",
       "      <td>13022</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-03-27 09:30:12.852328216</td>\n",
       "      <td>188.58</td>\n",
       "      <td>188.58</td>\n",
       "      <td>188.30</td>\n",
       "      <td>188.37</td>\n",
       "      <td>188.42</td>\n",
       "      <td>13088</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-03-27 09:30:30.588840948</td>\n",
       "      <td>188.33</td>\n",
       "      <td>188.89</td>\n",
       "      <td>188.32</td>\n",
       "      <td>188.82</td>\n",
       "      <td>188.77</td>\n",
       "      <td>13143</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-03-27 09:30:45.473718520</td>\n",
       "      <td>188.82</td>\n",
       "      <td>188.83</td>\n",
       "      <td>188.46</td>\n",
       "      <td>188.56</td>\n",
       "      <td>188.66</td>\n",
       "      <td>13051</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              timestamp   open   high    low  close   vwap  \\\n",
       "cumul_vol                                                                    \n",
       "0         2019-03-27 09:30:00.952259968 188.75 188.75 188.60 188.67 188.69   \n",
       "1         2019-03-27 09:30:06.813279061 188.60 188.78 188.57 188.58 188.70   \n",
       "2         2019-03-27 09:30:12.852328216 188.58 188.58 188.30 188.37 188.42   \n",
       "3         2019-03-27 09:30:30.588840948 188.33 188.89 188.32 188.82 188.77   \n",
       "4         2019-03-27 09:30:45.473718520 188.82 188.83 188.46 188.56 188.66   \n",
       "\n",
       "             vol  txn  \n",
       "cumul_vol              \n",
       "0           6526   71  \n",
       "1          13022  141  \n",
       "2          13088  161  \n",
       "3          13143  173  \n",
       "4          13051  148  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = trades.reset_index()\n",
    "by_vol = df.groupby(df.cumul_vol.div(trades_per_min).round().astype(int))\n",
    "vol_bars = pd.concat([by_vol.timestamp.last().to_frame('timestamp'), get_bar_stats(by_vol)], axis=1)\n",
    "vol_bars.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:49.940173Z",
     "start_time": "2018-12-25T19:07:48.498334Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "price_volume(vol_bars.set_index('timestamp'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-25T19:07:49.948503Z",
     "start_time": "2018-12-25T19:07:49.941975Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NormaltestResult(statistic=44.144066960487535, pvalue=2.5955993405406944e-10)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normaltest(vol_bars.vwap.dropna())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "230.909px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
